Elena Celledoni
- Numerical Analysis top 1%
- Numerical methods for differential equations 36
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- Model Reduction and Neural Networks 13
- Nonlinear Waves and Solitons 8
- Computational Mechanics top 2%
- Advanced Numerical Methods in Computational Mathematics 17
- Computational Fluid Dynamics and Aerodynamics 4
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions 3
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- Matrix Theory and Algorithms 13
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- Advanced Topics in Algebra 5
- Co-authors
- Brynjulf OwrenG. QuispelRobert I. McLachlanDavid McLarenArieh IserlesVolker GrimmDion O’NealeDavid Cohen
- Journals
- Journal of Computational Physics (4 papers)Computer Methods in Applied Mechanics and Engineering (4 papers)Mathematics of Computation (3 papers)
- Partner nations
- NorwayAustraliaNew Zealand
In The Last Decade
Elena Celledoni
48 papers receiving 912 citations
Peers
Comparison fields: 5 of 66
- Numerical Analysis 719
- Statistical and Nonlinear Physics 317
- Computational Mechanics 412
- Modeling and Simulation 80
- Computational Theory and Mathematics 237
Countries citing papers authored by Elena Celledoni
This map shows the geographic impact of Elena Celledoni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elena Celledoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Celledoni more than expected).
Fields of papers citing papers by Elena Celledoni
This network shows the impact of papers produced by Elena Celledoni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elena Celledoni. The network helps show where Elena Celledoni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elena Celledoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 11 | |
| 8 | 2019 | 0 | |
| 9 | 2018 | 8 | |
| 10 | 2016 | 1 | |
| 11 | 2014 | 20 | |
| 12 | 2012 | 42 | |
| 13 | 2009 | 12 | |
| 14 | MA8404-Notes on IMEX methods and exponential integrators | 2009 | 0 |
| 15 | 2009 | 73 | |
| 16 | 2004 | 24 | |
| 17 | Special Issue: Advances in Computational Dynamics | 2003 | 1 |
| 18 | 2002 | 5 | |
| 19 | 2000 | 55 | |
| 20 | 1997 | 33 |
About Elena Celledoni
Elena Celledoni is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Algebra and Number Theory, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Numerical methods for differential equations (36 papers), Advanced Numerical Methods in Computational Mathematics (17 papers), Model Reduction and Neural Networks (13 papers), Matrix Theory and Algorithms (13 papers), Nonlinear Waves and Solitons (8 papers), Advanced Topics in Algebra (5 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Numerical Analysis (719 citations), Statistical and Nonlinear Physics (317 citations) and Computational Mechanics (412 citations). Elena Celledoni has collaborated with scholars based in Norway, Australia and New Zealand. Frequent co-authors include Brynjulf Owren, G. Quispel, Robert I. McLachlan, David McLaren, Arieh Iserles, Volker Grimm, Dion O’Neale, David Cohen, Arne Marthinsen and Simone Fiori. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.